AI Employee for Complex Work
Coworker uses OM1 organizational memory so complex questions are answered and tasks are executed with full context, not generic replies.
saved per knowledge worker weekly
fewer repetitive questions
product velocity increase
saved per 100 employees
Coworker: Your Company Brain
Teams waste hours hunting for context across project tools, chat, and docs. Coworker reduces that friction by linking structured and unstructured sources into a single living memory so answers require fewer manual searches.
Generic models return plausible but shallow results that need corrections and repeated prompts. Coworker returns contextualized, actionable outputs because OM1 remembers projects, decisions, and relationships.
Point automations run blind to how teams actually work, producing handoffs and errors. Cross-functional intelligence shows how changes ripple across teams so automations match real workflows.
Deploy an AI Employee in Under a Day
Disconnected systems cost time: Teams waste hours hunting for context across project tools, chat, and docs.
Generic answers require rework: Generic models return plausible but shallow results that need corrections and repeated prompts.
Siloed automation misses organizational reality: Point automations run blind to how teams actually work, producing handoffs and errors.
Risk and compliance hold teams back: Teams hesitate to surface sensitive data to public LLMs and lose insights instead.
Why an AI Employee Beats Generic AI
OM1 builds a running model of your organization that tracks 120 plus dimensions such as projects, roles, and decisions. That living memory lets Coworker provide answers grounded in how work actually happens rather than only what is documented.
Coworker can analyze, plan, and then perform multi-step tasks across systems. Teams delegate complex workflows instead of issuing single prompts, and the system executes actions like drafting tickets, sending updates, and updating records automatically.
Synthesize signals from marketing, engineering, sales, and operations to understand dependencies and priorities. Decision makers get a unified view that explains not just what is happening but why it matters for other teams.
Focus on measurable results such as faster issue resolution and fewer manual escalations. The emphasis is on how Coworker changes day-to-day workflows so teams spend time on high impact work.
Benefits and Measurable ROI From an AI Coworker
Marketing: Marketers reduce campaign coordination overhead by letting Coworker pull audience context, status updates, and asset locations. Work moves faster because campaign decisions and execution steps are connected across tools.
Sales: Sales teams get real-time deal intelligence that surfaces risks from product, support, or contract notes. Coworker highlights chase-worthy accounts and suggests next actions based on cross-functional signals.
Engineering: Engineers receive prioritized issue context that links customer reports, PRs, and roadmaps. Coworker automates ticket creation or status updates to reduce manual coordination and speed triage.
Operations and programs: Operations leaders see how work dependencies and stakeholder handoffs affect delivery. That transparency reduces missed commitments and clarifies who needs to act next.
Connects to your entire stack
100+ OAuth connectors. Permissioned and secure. Your agents work across every tool your team already uses.
Integrations and Enterprise-Grade Security
Coworker connects to 40 to 50 plus apps and data stores so your existing tools remain the source of truth. That means faster indexing of context and immediate value without rip and replace.
Role-based access and audit logs preserve control over sensitive information. Data stays in your cloud unless you allow export, reducing exposure while enabling enterprise use.
Coworker is independently audited and complies with SOC 2 Type 2, GDPR, and CASA Tier 2. These controls support procurement and security reviews for regulated enterprises.
Customer data is not used to train external models by default, preserving privacy and contractual boundaries. That practice aligns with enterprise policies and reduces legal risk when deploying AI.
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Learn moreFAQ
Frequently asked questions
An AI employee combines organizational memory, cross-tool integration, and execution capabilities to act like a teammate rather than a search box. Coworker uses OM1 to retain project context, decisions, and relationships so outputs are actionable and aligned with company reality.
Coworker follows enterprise-grade controls including SOC 2 Type 2 and GDPR compliance and supports data residency options. Audit logs, role-based access, and a policy-driven architecture ensure information is used only per your configuration.
Typical initial deployments take less than one day to connect core systems and begin generating OM1 memory. Validation, tuning, and expanding integrations are iterative but designed to produce visible value immediately.
Coworker integrates with 40 to 50 plus commonly used enterprise apps including messaging, ticketing, code, and document stores. The integrations let Coworker synthesize structured and unstructured data into a single company memory.
Yes. Coworker can perform multi-step workflows like creating tickets, updating records, and sending status updates across connected systems. Execution follows your access controls and approval policies so actions remain auditable and controlled.
Coworker does not use customer data to train external models by default and offers controls to keep data inside your environment. This approach aligns with enterprise compliance needs and reduces the risk of unintended data exposure.
Enterprises typically see an 8 to 10 hour weekly savings per knowledge worker and over 60 percent reduction in time spent searching for information. Organizations also report improved delivery velocity and potential cost savings through reduced tool duplication.
Start managing knowledge with AI today
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